LUMIA-Group / Cluster-wise-Graph-TransformerLinks
Official implementation for "Cluster-wise Graph Transformer with Dual-granularity Kernelized Attention" (NeurIPS2024 Spotlight)
☆16Updated last year
Alternatives and similar repositories for Cluster-wise-Graph-Transformer
Users that are interested in Cluster-wise-Graph-Transformer are comparing it to the libraries listed below
Sorting:
- Official Implementation of "D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion"☆23Updated 2 years ago
- ☆32Updated last year
- [NeurIPS 2024] Implementation of "Enhancing Graph Transformers with Hierarchical Distance Structural Encoding"☆16Updated 8 months ago
- ☆15Updated 2 years ago
- The official source code for "Conditional Graph Information Bottleneck for Molecular Relational Learning".☆45Updated 2 years ago
- [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"☆40Updated last year
- This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".☆128Updated 5 months ago
- A collection of papers on Graph Structural Learning (GSL)☆58Updated 2 years ago
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆103Updated last year
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆34Updated last year
- Ratioanle-aware Graph Contrastive Learning codebase☆44Updated 2 years ago
- The code for GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning☆66Updated last year
- Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"☆46Updated last year
- [NeurIPS'23] Source code of "Data-Centric Learning from Unlabeled Graphs with Diffusion Model": A data-centric transfer learning framewor…☆22Updated 7 months ago
- [ICML 2024] Code for Pairwise Alignment Improves Graph Domain Adaptation (Pair-Align)☆14Updated last year
- ☆91Updated 2 years ago
- [NeurIPS'23] Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling. Haotao Wang, Ziyu Jiang, Yuning Y…☆57Updated 2 years ago
- Code implementation for paper "Can Large Language Models Empower Molecular Property Prediction?"☆39Updated 2 years ago
- Directional diffusion models☆43Updated last year
- code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486☆99Updated 2 years ago
- ☆58Updated 3 years ago
- The official implementation of the ICML'24 paper "A Graph is Worth K Words: Euclideanizing Graph using Pure Transformer".☆46Updated 10 months ago
- Code for ICLR'24 Paper "Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks"☆10Updated last year
- A collection of graph foundation models including papers, codes, and datasets.☆155Updated 6 months ago
- Code & data for ICLR'23 Spotlight paper "Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency".☆34Updated 2 years ago
- A curated list of papers on graph transfer learning (GTL).☆18Updated 2 years ago
- VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections, ICLR 2024☆14Updated last year
- Learning to Group Auxiliary Datasets for Molecule, NeurIPS2023☆18Updated 2 years ago
- This is the code of our work Are More Layers Beneficial to Graph Transformers? published on ICLR 2023.☆21Updated 2 years ago
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆136Updated last year